High-Efficiency Removal of Copper and Nickel via Donnan Dialysis Using Fujifilm Cation-Exchange Membranes: Process Optimization Through Response Surface Methodology

This study investigates the simultaneous removal of copper and nickel ions from aqueous solutions using Donnan dialysis (DD), with process optimization performed through Response Surface Methodology (RSM). An initial screening identified the most effective counter-ion, guiding the experimental design toward optimal ion removal. Comparative experiments using Fujifilm Type 1 and Type 2 cation-exchange membranes revealed the superior performance of Type 1 for both metals, as confirmed by FTIR-ATR spectroscopic analysis of membrane morphology. A comprehensive experimental campaign based on a Central Composite Design (CCD) evaluated the effects of copper, nickel, and sodium ion concentrations on removal efficiency. Under optimized conditions-80 mg/L Cu<sup>2+</sup>, 100 mg/L Ni<sup>2+</sup>, and 0.06 mol/L Na<sup>+</sup>-the Fujifilm Type 1 membrane achieved remarkable removal rates of 99.67 ± 0.21% for copper and 98.85 ± 0.34% for nickel. These values were experimentally validated (99.45 ± 0.18% and 98.71 ± 0.27%, <i>n</i> = 3), showing excellent agreement between predicted and observed data and confirming the robustness of the optimized Donnan dialysis process. Overall, the results highlight Donnan dialysis as a highly efficient and environmentally sustainable approach for the removal and recovery of heavy metals from aqueous solutions using Fujifilm cation-exchange membranes.

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Journal
Membranes
Published
2025-11-21
DOI
https://doi.org/10.3390/membranes15120346
Primary Topic
Membrane-based Ion Separation Techniques
Type
article
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article

High-Efficiency Removal of Copper and Nickel via Donnan Dialysis Using Fujifilm Cation-Exchange Membranes: Process Optimization Through Response Surface Methodology

Elimame Elaloui, C. Larchet, Wided Bouguerra, L. Dammak et al.
Membranes
Membrane-based Ion Separation Techniques
article

High-Efficiency Removal of Copper and Nickel via Donnan Dialysis Using Fujifilm Cation-Exchange Membranes: Process Optimization Through Response Surface Methodology

Elimame Elaloui, C. Larchet, Wided Bouguerra, L. Dammak, Sana Ncib, Nabila Chaabani
article en

Abstract

This study investigates the simultaneous removal of copper and nickel ions from aqueous solutions using Donnan dialysis (DD), with process optimization performed through Response Surface Methodology (RSM). An initial screening identified the most effective counter-ion, guiding the experimental design toward optimal ion removal. Comparative experiments using Fujifilm Type 1 and Type 2 cation-exchange membranes revealed the superior performance of Type 1 for both metals, as confirmed by FTIR-ATR spectroscopic analysis of membrane morphology. A comprehensive experimental campaign based on a Central Composite Design (CCD) evaluated the effects of copper, nickel, and sodium ion concentrations on removal efficiency. Under optimized conditions-80 mg/L Cu<sup>2+</sup>, 100 mg/L Ni<sup>2+</sup>, and 0.06 mol/L Na<sup>+</sup>-the Fujifilm Type 1 membrane achieved remarkable removal rates of 99.67 ± 0.21% for copper and 98.85 ± 0.34% for nickel. These values were experimentally validated (99.45 ± 0.18% and 98.71 ± 0.27%, <i>n</i> = 3), showing excellent agreement between predicted and observed data and confirming the robustness of the optimized Donnan dialysis process. Overall, the results highlight Donnan dialysis as a highly efficient and environmentally sustainable approach for the removal and recovery of heavy metals from aqueous solutions using Fujifilm cation-exchange membranes.

MembranesVol. 15(12)
Centre National de la Recherche Scientifique (FR), Université Paris-Est Créteil (FR), University of Gafsa (TN), Institut de Chimie et des Matériaux Paris-Est (FR)
Openalex Percentile: Top 65%
Membrane-based Ion Separation Techniques
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High-Efficiency Removal of Copper and Nickel via Donnan Dialysis Using Fujifilm Cation-Exchange Membranes: Process Optimization Through Response Surface Methodology — Elimame Elaloui, C. Larchet, et al. · Membranes (2025) | TGRS Research Map | TGRS